Q-q Plot

A Q-Q Plot is a graphical method for comparing two probability distributions by plotting their quantiles against each other to assess distributional similarity or goodness-of-fit.

71

Publications

3.3K

Citations

167

Authors

91

Institutions

Publications per year

2017–2026

13

Variants

Quantile-quantile Plot

Authors

167

  1. KJ
    Kenneth J. Koehler

    Iowa State University, United States

    4 publications · 211 citations

    4

    h-index

  2. FF
    F. F. Gan

    National University of Singapore, Singapore

    4 publications · 211 citations

    4

    h-index

  3. HH
    Heike Hofmann

    Iowa State University, United States

    2 publications · 141 citations

    2

    h-index

  4. AL
    Adam Loy

    Iowa State University, United States

    2 publications · 141 citations

    2

    h-index

  5. EB
    Edward B. Fowlkes

    C3I (United States), United States

    2 publications · 130 citations

    2

    h-index

1–5 of 167

Venues

  1. 7

    h-index

  2. The American Statistician

    6 publications · 224 citations

    6

    h-index

  3. Journal of Computational and Graphical Statistics

    JCGS · 4 publications · 156 citations

    4

    h-index

  4. Technometrics

    2 publications · 133 citations

    2

    h-index

  5. Statistics & Probability Letters

    2 publications · 53 citations

    2

    h-index

1–5